Category Archives: News Roundup

Roundup 12/9/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours. Microsoft Releases R Server 9.0 On the Cortana Intelligence and Machine Learning Blog, Microsoft announces Release 9.0 of Microsoft R Server, a bundle of components built on an enhanced R distribution. Highlights of the new release include: — MicrosoftML, a package of machine learning algorithms — Simplified model

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Roundup 12/8/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours. Good Reads — McKinsey consultants Christoph Glatzel, Matt Hopkins, Tim Lange, and Uwe Weiss explain how retailers use machine learning to drive fresh food stocking. — In IEEE Spectrum, Deliang Wang explains how his lab at OSU uses deep learning to improve hearing aids. People — Unity

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Roundup 12/7/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours. On Thursday, December 8, Databricks’ Joseph Bradley and Jules Damji will deliver a webinar on migrating Spark ML workloads to DataFrames. Good Reads — On the Algorithmia blog, Matt Kiser explains why deep learning matters. — In The Wall Street Journal’s CIO Journal, Sara Castellanos reports on

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Roundup 12/6/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours. On the AtScale blog, some old guy says BI-on-Hadoop is dead. People — The folks at DataCamp recognize the five top R package maintainers: Hadley Wickham (ggplot2, dplyr, tidyr,…) Yihui Xie (knitr, bookdown, rmarkdown, shiny, htmlwidgets,…) Dirk Eddelbuettel (Rcpp, RPostgreSQL,…) Jeroen Ooms (jsonlite, xml2,…) Achim Zeileis (colorspace,

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Roundup 12/05/2016

ICYMI: Top machine learning (ML) and deep learning (DL) stories from last week. News — Baidu releases “Long Utterance,” a set of Chinese language APIs for its speech recognition technologies. — Max Kuhn, author of Applied Predictive Modeling and progenitor of the caret package for machine learning moves to RStudio. — At AWS’ re:Invent Conference, Databricks announces HIPAA compliance for its

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Roundup 12/2/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours. ZDNet has a special section on AI and machine learning. I’ve pulled some of the interesting pieces and linked them in the appropriate sections below. Issues — In Data Science Central, William Vorhies asks: has AI gone too far?  The context of his question is a paper

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Roundup 12/1/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours. Events — Spark Summit East meets in Boston February 7-9 2017. AWS Launches AI Services Amazon Web Services launches three new services: Amazon Rekognition, an image recognition capability Amazon Polly, for text-to-speech Amazon Lex, a chatbot development platform A massive medialanche ensues. Serdar Yegualp applauds. In TechCrunch, Frederic Lardinois touts

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Roundup 11/30/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours. Events — Spark Summit East meets in Boston February 7-9 2017. Good Reads — From Moor Insights & Strategy, an excellent paper on trends in predictive maintenance, a key application for machine learning. (Update: A reader notes that this is a sponsored paper, which is true, but I have

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Roundup 11/29/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours. Events — Spark Summit East will meet in Boston February 7-9 2017. Good Reads — In The Next Platform, Nicole Hemsoth explains why Microsoft invests in FPGAs for compute-intensive applications like machine learning. Separately, Nicole investigates Intel’s strategy to integrate the deep learning assets it acquired when it

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Roundup 11/28/2016

ICYMI: Top machine learning (ML) and deep learning (DL) stories from last week. News — Google announces a $4.5 million investment in the Montreal Institute for Learning Algorithms. PR avalanche ensues. — In Investopedia, Richard Saintvilus chronicles the cloud machine learning wars. — Six months after releasing DSSTNE, an internally developed deep learning framework, AWS announces plans to standardize on MXNet.

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